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Time-Continuous Sliding Motion Image Registration Using Stationary Velocity Fields for Respiratory Motion Interpolation

Ole Gildemeister, Johannes Bostelmann, Pia F Schulz, Andra Oltmann, Phillip Rostalski, Jan Modersitzki, Jan Lellmann

Abstract

We propose an image registration model for computing a
dense, piecewise diffeomorphic deformation map between 3D thorax
images which incorporates sliding motion as often occurring in the pleu-
ral cavity. Our approach is based on stationary velocity fields and neural
implicit representations, with a particular focus on facilitating motion
interpolation. This allows for generating a time-continuous model of the
respiratory cycle based on end-inspiration and end-expiration images.
We investigate the effect of composing deformations in motion interpo-
lation, using a hybrid technique to enforce domain alignment. We experi-
mentally validate our approach for registration and motion interpolation
between thoracic end-inspiration and end-expiration images.
Original languageUndefined/Unknown
Title of host publicationInternational Conference on Scale Space and Variational Methods in Computer Vision
Number of pages13
Publication date2025
Pages404-416
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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